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Archie Reflex — Gate-0 Dataset (100,000 Audited Rows)
Archie Reflex is a single-transition controller architecture over structured UI and 3D scene state:
This Gate-0 dataset provides 100,000 audited training and evaluation rows divided into 10 deterministic 10,000-row shards covering single-step Action IR with a target-runtime backend label (blender, threejs, bevy, motionvector).
Provenance. Rows are generated by a deterministic Python generator from a synthetic scene schema. Scalar spans are computed mechanically at render time and are exact by construction. The
backendfield is a target-runtime label assigned at generation; no engine executed these actions. Execution-verified corpora from this project are separate and smaller:gate1-10k(10,000 rows, headless Chromium, Playwright, per-row state predicates) and the Blender R1 corpus (5,004 rows, headless Blender, replayed twice, post-state hash matched). Treat this set as schema-grounded supervision for verb/target/span heads, not as an execution benchmark.
Static audit: 0 span-integrity failures, 0 invariant violations
- Total Rows: 100,000
- Shards: 10 (10,000 rows each)
- Total Size: 34.6 MB (Zstandard Parquet)
- Span Integrity: 0 failures across 100,000 rows (100.0% exact match on Unicode code-point offsets $[start, end)$)
- Positive / Negative Balance:
- Positive Executions: ~60.5% (balanced across all 10 positive verbs)
- Negative Abstentions: ~39.5% (balanced across
entity_hallucination,ambiguous_or_underspecified,out_of_domain_creative_planning)
- Invariants: 0 violations (every positive action references a valid entity or created primitive; every negative action abstains cleanly).
Schema
| Column | Type | Description |
|---|---|---|
id |
string | Unique record identifier (e.g. blender_000000000042) |
row_index |
int64 | Global deterministic index |
backend |
string | Target runtime (blender, threejs, bevy, motionvector) |
user_delta |
string | Surface-form natural language instruction |
execute |
int32 | Whether to execute (1) or abstain (0) |
verb |
string | Gold action verb (translate, rotate, scale, etc., or abstain) |
target_entity |
string | Target entity identifier (or null for new primitives / abstentions) |
axis |
string | Spatial axis if applicable (X, Y, Z) |
scalar_value |
float64 | Target float value |
scalar_span_start |
int32 | Character start index of argument span |
scalar_span_end |
int32 | Character end index of argument span |
scalar_text |
string | Exact substring slice from user_delta |
scalar_role |
string | argument or distractor |
negative_category |
string | Typed failure code if execute == 0 |
pre_state_json |
string | Complete JSON scene observation |
gold_action_json |
string | Complete canonical Action IR |
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